Calculating Ultra-Strong and Extended Solutions for Nine Men's Morris, Morabaraba, and Lasker. - Gábor E. Gévay; Gábor Danner (CoRR, 2014)

Fully Distributed Privacy Preserving Mini-batch Gradient Descent Learning. - Gábor Danner; Márk Jelasity (DAIS, 2015)

Calculating Ultrastrong and Extended Solutions for Nine Men's Morris, Morabaraba, and Lasker Morris. - Gábor E. Gévay; Gábor Danner (IEEE Trans. Comput. Intell. AI Games, 2016)

Robust Decentralized Mean Estimation with Limited Communication. - Gábor Danner; Márk Jelasity (Euro-Par, 2018)

Token Account Algorithms: The Best of the Proactive and Reactive Worlds. - Gábor Danner; Márk Jelasity (ICDCS, 2018)

Robust Fully Distributed Minibatch Gradient Descent with Privacy Preservation. - Gábor Danner; Árpád Berta; István Hegedüs; Márk Jelasity (Secur. Commun. Networks, 2018)

Gossip Learning as a Decentralized Alternative to Federated Learning. - István Hegedüs; Gábor Danner; Márk Jelasity (DAIS, 2019)

Decentralized Recommendation Based on Matrix Factorization: A Comparison of Gossip and Federated Learning. - István Hegedüs; Gábor Danner; Márk Jelasity (PKDD/ECML Workshops (1), 2019)

Decentralized machine learning using compressed push-pull averaging. - Gábor Danner; István Hegedüs; Márk Jelasity (DICG@Middleware, 2020)

Decentralized learning works: An empirical comparison of gossip learning and federated learning. - István Hegedüs; Gábor Danner; Márk Jelasity (J. Parallel Distributed Comput., 2021)

Hiding Needles in a Haystack: Towards Constructing Neural Networks that Evade Verification. - Árpád Berta; Gábor Danner; István Hegedüs; Márk Jelasity (IH&MMSec, 2022)

Efficient Gossip Algorithms for Machine Learning - Gábor Danner (2022)

Improving Gossip Learning via Limited Model Merging. - Gábor Danner; István Hegedüs; Márk Jelasity (ICCCI (CCIS Volume), 2023)